title: Gene regulatory networks in plants: learning causality from time and perturbation.
abstract: The goal of systems biology is to generate models for predicting how a system will react under untested conditions or in response to genetic perturbations. This paper discusses experimental and analytical approaches to deriving causal relationships in gene regulatory networks.
authors.forename: Gabriel
authors.initials: G
authors.lastname: Krouk
authors.forename: Jesse
authors.initials: J
authors.lastname: Lingeman
authors.forename: Amy Marshall
authors.initials: AM
authors.lastname: Colon
authors.forename: Gloria
authors.initials: G
authors.lastname: Coruzzi
authors.forename: Dennis
authors.initials: D
authors.lastname: Shasha
mesh_terms: D001185:Artificial Intelligence; D018506:Gene Expression Regulation, Plant; D053263:Gene Regulatory Networks; D017343:Genes, Plant; D018745:Genome, Plant; D008957:Models, Genetic; D010944:Plants / Q000235:genetics*; D015398:Signal Transduction; D049490:Systems Biology / Q000379:methods / Q000706:statistics & numerical data